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Found 2 papers, 2 papers with code
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Continuous-time models such as Neural ODEs and Neural Flows have shown promising results in analyzing irregularly sampled time series frequently encountered in electronic health records.
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
Atrial fibrillation (AF) is the most common cardiac arrhythmia and associated with a high risk for serious conditions like stroke.
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